A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.

David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...

Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...

As workers remain concerned about AI replacing jobs, employers are simultaneously creating remote jobs for workers who know ...

Open-Source AI Tools while not widely publicized, are highly regarded within the developer community for their ability to simplify complex tasks ...

Managing a medical supply chain in low- and middle-income countries can mean navigating a landscape prone to extreme and ...

As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess ...

Airbnb says the "anti-party system" it deploys ahead of major holiday weekends flags bookings with characteristics indicating ...

While public conversations may often focus on chatbots and workplace automation, To sees specialized AI systems trained on ...

ICML 2026 opens in Seoul on July 6 with a record 23,918 submissions — more than double last year — and a research program ...

Founder of Weavy - now Figma Weave - which provides a node-based framework for precise definition of design workflows when working with LLMs.